Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Python +Machine learning for physical sciences -Naive Bayes classifier -Michael I. Jordan -scikit-learn"

Positive matches

• 0.029 + - Paradox
• 0.022 + - Probability
• 0.019 + - Pajek
• 0.017 + - Gradient descent
• 0.016 + - Recommender system
• 0.014 + - IPython notebook
• 0.014 + - Jupyter/notebook
• 0.012 + - Probability, Paradox, and the Reasonable Person Principle
• 0.010 + - Boosting (machine learning)
• 0.007 + - GNU Make
• 0.007 + - Learning
• 0.007 + - Privacy and Deanonymization
• 0.006 + - Geovisualization
• 0.006 + - GraphLab
• 0.006 + - Kevin Murphy
• 0.006 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.006 + - Stability selection
• 0.006 + - Cross validation
• 0.006 + - Sargur Srihari
• 0.006 + - Future of work

Negative matches

• 0.034 + - Deep learning
• 0.015 + - tfidf
• 0.011 + - Decision tree
• 0.010 + - Tim Hopper
• 0.010 + - tf-idf
• 0.006 + - Python/Modules
• 0.005 + - Lexical feature selection
• 0.005 + - Random forest
• 0.004 + - skorch
• 0.003 + - Text analysis
• 0.003 + - PyTorch
• 0.001 + - Gilles Louppe
• 0.001 + - Natural language processing
• 0.001 + - PyTorch-BigGraph
• 0.001 + - Pointwise mutual information
• 0.001 + - Tox
• 0.000 + - neovim
• 0.000 + - Recurrent neural network